Planning a holistic summative eHealth evaluation in an interdisciplinary and multi-national setting: a case study and propositions for guideline development
Journal article, 2021

Background: Summative eHealth evaluations frequently lack quality, which affects the generalizability of the evidence, and its use in practice and further research. To guarantee quality, a number of activities are recommended in the guidelines for evaluation planning. This study aimed to examine a case of an eHealth evaluation planning in a multi-national and interdisciplinary setting and to provide recommendations for eHealth evaluation planning guidelines. Methods: An empirical eHealth evaluation process was developed through a case study. The empirical process was compared with selected guidelines for eHealth evaluation planning using a pattern-matching technique. Results: Planning in the interdisciplinary and multi-national team demanded extensive negotiation and alignment to support the future use of the evidence created. The evaluation planning guidelines did not provide specific strategies for different set-ups of the evaluation teams. Further, they did not address important aspects of quality evaluation, such as feasibility analysis of the outcome measures and data collection, monitoring of data quality, and consideration of the methods and measures employed in similar evaluations. Conclusions: Activities to prevent quality problems need to be incorporated in the guidelines for evaluation planning. Additionally, evaluators could benefit from guidance in evaluation planning related to the different set-ups of the evaluation teams.

Standard

Stakeholder

Evaluation planning

Evaluation

Evaluation quality

eHealth

Guidelines

Assessment

Author

Monika Nair

Chalmers, Technology Management and Economics, Service Management and Logistics

Amia Enam

Norwegian University of Science and Technology (NTNU)

Johanna Torres-Bonilla

Henrik Eriksson

Chalmers, Technology Management and Economics, Service Management and Logistics

BMC Medical Informatics and Decision Making

1472-6947 (ISSN)

Vol. 21 1 60

Subject Categories

Other Computer and Information Science

Environmental Analysis and Construction Information Technology

Software Engineering

DOI

10.1186/s12911-021-01399-9

PubMed

33596910

More information

Latest update

4/7/2021 1